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Papers by Ravindra Dabhade

Research paper thumbnail of Churn Identification and Prediction from a Large-Scale Telecommunication Dataset Using NLP

International Journal on Recent and Innovation Trends in Computing and Communication, Aug 31, 2023

The identification of customer churn is a major issue for large telecom businesses. In order to m... more The identification of customer churn is a major issue for large telecom businesses. In order to manage the data of current customers as well as acquire and manage new customers, every day, a substantial volume of data gets generated. Therefore, it's crucial to identify the causes of client churn so that the appropriate steps can be taken to lower it. Numerous researchers have already discussed their efforts to combine static and dynamic approaches in order to reduce churn in big data sets, but these systems still have many issues when it comes to actually identifying churn. In this paper, we suggested two methods, the first of which is churn identification and using Natural Language Processing (NLP) methods and machine learning techniques, we make predictions based on a vast telecommunication data set. The NLP process involves data pre-processing, normalization, feature extraction, and feature selection. For feature extraction, we employ unique techniques like TF-IDF, Stanford NLP, and occurrence correlation methods, have been suggested. Throughout the lesson, a machine learning classification algorithm is used for training and testing. Finally, the system employs a variety of cross validation techniques and training and evaluating Machine learning algorithms. The experimental analysis shows the system's efficacy and accuracy.

Research paper thumbnail of Smart Grid System To Monitor and Control Renewable Energy Source Based on Web of Things

International Journal of Advance Research and Innovative Ideas in Education, 2016

This paper describes a smart grid system of renewable energy source based on Web of things. The s... more This paper describes a smart grid system of renewable energy source based on Web of things. The smart grid evokes the application of digital technology and information management practices and is a core ingredient in the ongoing modernization of the electricity delivery infrastructure. The renewable energy source considered here is solar energy hence use a photovoltaic cell. This system consist of three major subsystems namely power generation and storage, power monitoring and billing and power control and managing by using WoT. WoT technology can effectively combine the infrastructure resources in increase the quality of power system information, and increases the utilization efficiency of infrastructures in the existing power system. The part of vision of a smart grid is its ability to enable informed participation by customers making them an integral part of the electrical power

Research paper thumbnail of Empowering sustainable farming practices with AI-enabled interactive visualization of hyperspectral imaging data

Research paper thumbnail of GAN Base feedback analysis system for industrial IOT networks

Automatika, Nov 11, 2022

The internet, like automated tools, has grown to better our daily lives. Interacting IoT products... more The internet, like automated tools, has grown to better our daily lives. Interacting IoT products and cyber-physical systems. Generative Adversarial Network's (GANs') generator and discriminator may have different inputs, allowing feedback in supervised models. AI systems use neural networks, and adversarial networks analyse neural network feedback. Cyber-physical production systems (CPPS) herald intelligent manufacturing. CPPS may launch cross-domain attacks since the virtual and real worlds are interwoven. This project addresses enhanced Cyber-Physical System(CPS) feedback structure for Denial-of-Service (DoS) defence. Comparing sensor-controller and controller-to-actuator DoS attack channels shows a swapping system modelling solution for the CPS's complex response feedback. Because of the differential in bandwidth between the two channels and the suspects' limited energy, one person can only launch so many DoS assaults. DoS attacks are old and widespread. Create a layered switching paradigm that employs packet-based transfer techniques to prevent assaults. The discriminator's probability may be used to assess whether feedback samples came from real or fictional data. Cognitive feedback can assess GA feedback data.

Research paper thumbnail of GAN Base feedback analysis system for industrial IOT networks

Automatika

The internet, like automated tools, has grown to better our daily lives. Interacting IoT products... more The internet, like automated tools, has grown to better our daily lives. Interacting IoT products and cyber-physical systems. Generative Adversarial Network's (GANs') generator and discriminator may have different inputs, allowing feedback in supervised models. AI systems use neural networks, and adversarial networks analyse neural network feedback. Cyber-physical production systems (CPPS) herald intelligent manufacturing. CPPS may launch cross-domain attacks since the virtual and real worlds are interwoven. This project addresses enhanced Cyber-Physical System(CPS) feedback structure for Denial-of-Service (DoS) defence. Comparing sensor-controller and controller-to-actuator DoS attack channels shows a swapping system modelling solution for the CPS's complex response feedback. Because of the differential in bandwidth between the two channels and the suspects' limited energy, one person can only launch so many DoS assaults. DoS attacks are old and widespread. Create a layered switching paradigm that employs packet-based transfer techniques to prevent assaults. The discriminator's probability may be used to assess whether feedback samples came from real or fictional data. Cognitive feedback can assess GA feedback data.

Research paper thumbnail of Environmental Monitoring For IoT Applications Based On Wireless Sensor Network

This paper presents the functional design and integration of a complete WSN platform that can be ... more This paper presents the functional design and integration of a complete WSN platform that can be used to remote environmental monitoring and target for IoT applications. The system of physical object devices, vehicles, buildings and other items embedded with sensors, electronics, software and network connectivity that enables these objec ts to collect and exchange data, this is called IoT. IoT is expected to generate large amounts of data from diverse locations. IoT is one of the platforms for today’s smart city and smart energy management systems. Wireless Sensor Network (WSN) is used to monitor environmental conditions such as sound, pressure, temperature etc. The application requirements are long lifetime, low cost, fast deployment, low maintenance; high number of sensors and high quality of service are considered in the specification. Low-effort platform reuse is also considered for the specifications and design levels for a wide array of related monitoring applications. Keyword...

Research paper thumbnail of Optimal Neural Network Based Face Recognition System for Various Pose and Occluded Images

Facial recognition is a kind of pattern recognition where a human's face is stored in a datab... more Facial recognition is a kind of pattern recognition where a human's face is stored in a database for future endeavors to decide or perceive a man's character when the face is seen by a user. One of the approaches to do this is by contrasting chosen facial components from the picture and a facial database. In these days, it seems to be famous prevalence as a business distinguishing proof and promoting instrument. In this examination, we have planned to propose a successful technique for face recognition. At first, the info picture is chosen from the information database; here we are thinking about different stance and impediment pictures. The proposed technique has two principle stages specifically, feature extraction and face recognition. In the first stage, the facial features are separated from the info face image. Here SIFT features, Active appearance model, and holo-entropy is utilized to discover the specialization of the face image. Further, the extracted features are ...

Research paper thumbnail of Smart Grid System To Monitor and Control Renewable Energy Source Based on Web of Things

International Journal of Advance Research and Innovative Ideas in Education, 2016

This paper describes a smart grid system of renewable energy source based on Web of things. The s... more This paper describes a smart grid system of renewable energy source based on Web of things. The smart grid evokes the application of digital technology and information management practices and is a core ingredient in the ongoing modernization of the electricity delivery infrastructure. The renewable energy source considered here is solar energy hence use a photovoltaic cell. This system consist of three major subsystems namely power generation and storage, power monitoring and billing and power control and managing by using WoT. WoT technology can effectively combine the infrastructure resources in increase the quality of power system information, and increases the utilization efficiency of infrastructures in the existing power system. The part of vision of a smart grid is its ability to enable informed participation by customers making them an integral part of the electrical power Keyword: - Web of things, Smart Grid, Power control and manage, modernization of electricity

Research paper thumbnail of Modeling and Simulation of FPGA based direct Torque Control of Induction Motor Drive

Modern AC drives require a fast digital realization of many mathematical operations concerning co... more Modern AC drives require a fast digital realization of many mathematical operations concerning control and estimator's algorithms, which are time consuming. Therefore developing of custom-built digital interfaces as well as digital data processing blocks and sometimes even integration of ADC converters into single integrated circuit is necessary. Due to the fact that developing an ASIC chip is expensive and laborious, the FPGA based solution should be used on the design stage of the algorithm. In this paper the application of FPGA in Direct Torque control induction motor drive is presented Index Terms-Induction motor, DTC, FPGA.

Research paper thumbnail of Churn Identification and Prediction from a Large-Scale Telecommunication Dataset Using NLP

International Journal on Recent and Innovation Trends in Computing and Communication, Aug 31, 2023

The identification of customer churn is a major issue for large telecom businesses. In order to m... more The identification of customer churn is a major issue for large telecom businesses. In order to manage the data of current customers as well as acquire and manage new customers, every day, a substantial volume of data gets generated. Therefore, it's crucial to identify the causes of client churn so that the appropriate steps can be taken to lower it. Numerous researchers have already discussed their efforts to combine static and dynamic approaches in order to reduce churn in big data sets, but these systems still have many issues when it comes to actually identifying churn. In this paper, we suggested two methods, the first of which is churn identification and using Natural Language Processing (NLP) methods and machine learning techniques, we make predictions based on a vast telecommunication data set. The NLP process involves data pre-processing, normalization, feature extraction, and feature selection. For feature extraction, we employ unique techniques like TF-IDF, Stanford NLP, and occurrence correlation methods, have been suggested. Throughout the lesson, a machine learning classification algorithm is used for training and testing. Finally, the system employs a variety of cross validation techniques and training and evaluating Machine learning algorithms. The experimental analysis shows the system's efficacy and accuracy.

Research paper thumbnail of Smart Grid System To Monitor and Control Renewable Energy Source Based on Web of Things

International Journal of Advance Research and Innovative Ideas in Education, 2016

This paper describes a smart grid system of renewable energy source based on Web of things. The s... more This paper describes a smart grid system of renewable energy source based on Web of things. The smart grid evokes the application of digital technology and information management practices and is a core ingredient in the ongoing modernization of the electricity delivery infrastructure. The renewable energy source considered here is solar energy hence use a photovoltaic cell. This system consist of three major subsystems namely power generation and storage, power monitoring and billing and power control and managing by using WoT. WoT technology can effectively combine the infrastructure resources in increase the quality of power system information, and increases the utilization efficiency of infrastructures in the existing power system. The part of vision of a smart grid is its ability to enable informed participation by customers making them an integral part of the electrical power

Research paper thumbnail of Empowering sustainable farming practices with AI-enabled interactive visualization of hyperspectral imaging data

Research paper thumbnail of GAN Base feedback analysis system for industrial IOT networks

Automatika, Nov 11, 2022

The internet, like automated tools, has grown to better our daily lives. Interacting IoT products... more The internet, like automated tools, has grown to better our daily lives. Interacting IoT products and cyber-physical systems. Generative Adversarial Network's (GANs') generator and discriminator may have different inputs, allowing feedback in supervised models. AI systems use neural networks, and adversarial networks analyse neural network feedback. Cyber-physical production systems (CPPS) herald intelligent manufacturing. CPPS may launch cross-domain attacks since the virtual and real worlds are interwoven. This project addresses enhanced Cyber-Physical System(CPS) feedback structure for Denial-of-Service (DoS) defence. Comparing sensor-controller and controller-to-actuator DoS attack channels shows a swapping system modelling solution for the CPS's complex response feedback. Because of the differential in bandwidth between the two channels and the suspects' limited energy, one person can only launch so many DoS assaults. DoS attacks are old and widespread. Create a layered switching paradigm that employs packet-based transfer techniques to prevent assaults. The discriminator's probability may be used to assess whether feedback samples came from real or fictional data. Cognitive feedback can assess GA feedback data.

Research paper thumbnail of GAN Base feedback analysis system for industrial IOT networks

Automatika

The internet, like automated tools, has grown to better our daily lives. Interacting IoT products... more The internet, like automated tools, has grown to better our daily lives. Interacting IoT products and cyber-physical systems. Generative Adversarial Network's (GANs') generator and discriminator may have different inputs, allowing feedback in supervised models. AI systems use neural networks, and adversarial networks analyse neural network feedback. Cyber-physical production systems (CPPS) herald intelligent manufacturing. CPPS may launch cross-domain attacks since the virtual and real worlds are interwoven. This project addresses enhanced Cyber-Physical System(CPS) feedback structure for Denial-of-Service (DoS) defence. Comparing sensor-controller and controller-to-actuator DoS attack channels shows a swapping system modelling solution for the CPS's complex response feedback. Because of the differential in bandwidth between the two channels and the suspects' limited energy, one person can only launch so many DoS assaults. DoS attacks are old and widespread. Create a layered switching paradigm that employs packet-based transfer techniques to prevent assaults. The discriminator's probability may be used to assess whether feedback samples came from real or fictional data. Cognitive feedback can assess GA feedback data.

Research paper thumbnail of Environmental Monitoring For IoT Applications Based On Wireless Sensor Network

This paper presents the functional design and integration of a complete WSN platform that can be ... more This paper presents the functional design and integration of a complete WSN platform that can be used to remote environmental monitoring and target for IoT applications. The system of physical object devices, vehicles, buildings and other items embedded with sensors, electronics, software and network connectivity that enables these objec ts to collect and exchange data, this is called IoT. IoT is expected to generate large amounts of data from diverse locations. IoT is one of the platforms for today’s smart city and smart energy management systems. Wireless Sensor Network (WSN) is used to monitor environmental conditions such as sound, pressure, temperature etc. The application requirements are long lifetime, low cost, fast deployment, low maintenance; high number of sensors and high quality of service are considered in the specification. Low-effort platform reuse is also considered for the specifications and design levels for a wide array of related monitoring applications. Keyword...

Research paper thumbnail of Optimal Neural Network Based Face Recognition System for Various Pose and Occluded Images

Facial recognition is a kind of pattern recognition where a human's face is stored in a datab... more Facial recognition is a kind of pattern recognition where a human's face is stored in a database for future endeavors to decide or perceive a man's character when the face is seen by a user. One of the approaches to do this is by contrasting chosen facial components from the picture and a facial database. In these days, it seems to be famous prevalence as a business distinguishing proof and promoting instrument. In this examination, we have planned to propose a successful technique for face recognition. At first, the info picture is chosen from the information database; here we are thinking about different stance and impediment pictures. The proposed technique has two principle stages specifically, feature extraction and face recognition. In the first stage, the facial features are separated from the info face image. Here SIFT features, Active appearance model, and holo-entropy is utilized to discover the specialization of the face image. Further, the extracted features are ...

Research paper thumbnail of Smart Grid System To Monitor and Control Renewable Energy Source Based on Web of Things

International Journal of Advance Research and Innovative Ideas in Education, 2016

This paper describes a smart grid system of renewable energy source based on Web of things. The s... more This paper describes a smart grid system of renewable energy source based on Web of things. The smart grid evokes the application of digital technology and information management practices and is a core ingredient in the ongoing modernization of the electricity delivery infrastructure. The renewable energy source considered here is solar energy hence use a photovoltaic cell. This system consist of three major subsystems namely power generation and storage, power monitoring and billing and power control and managing by using WoT. WoT technology can effectively combine the infrastructure resources in increase the quality of power system information, and increases the utilization efficiency of infrastructures in the existing power system. The part of vision of a smart grid is its ability to enable informed participation by customers making them an integral part of the electrical power Keyword: - Web of things, Smart Grid, Power control and manage, modernization of electricity

Research paper thumbnail of Modeling and Simulation of FPGA based direct Torque Control of Induction Motor Drive

Modern AC drives require a fast digital realization of many mathematical operations concerning co... more Modern AC drives require a fast digital realization of many mathematical operations concerning control and estimator's algorithms, which are time consuming. Therefore developing of custom-built digital interfaces as well as digital data processing blocks and sometimes even integration of ADC converters into single integrated circuit is necessary. Due to the fact that developing an ASIC chip is expensive and laborious, the FPGA based solution should be used on the design stage of the algorithm. In this paper the application of FPGA in Direct Torque control induction motor drive is presented Index Terms-Induction motor, DTC, FPGA.